
MIT World Peace University (MIT-WPU), Pune

B.Tech ECE (AI & ML) at MIT World Peace University (MIT-WPU), Pune
- The B.Tech Electronics and Communication Engineering (Artificial Intelligence and Machine Learning) at MIT World Peace University (MIT-WPU), Pune is a 4-year undergraduate program designed to combine electronics and communication engineering fundamentals with artificial intelligence and machine learning technologies for intelligent systems and smart communication solutions.
- The program integrates core ECE subjects with AI and machine learning algorithms, data-driven techniques, embedded intelligence, and hands-on labs, preparing students for careers in intelligent electronics, AI-enabled communication systems, and higher studies.
B.Tech Electronics and Communication Engineering (Artificial Intelligence and Machine Learning) – Course Details
- Duration: 4 Years (8 Semesters)
- Eligibility: Minimum 50% aggregate in 10+2
- University: MIT World Peace University (MIT-WPU), Pune
- Course Fee (Per Year): ₹3,65,000
B.Tech Electronics and Communication Engineering (Artificial Intelligence and Machine Learning) – Course Structure
- The curriculum focuses on electronics and communication fundamentals along with artificial intelligence and machine learning specialization subjects.
| Year | Core Subjects | Major / Advanced Subjects | Practical & Project Components |
|---|---|---|---|
| 1st Year | Engineering Mathematics, Basic Electronics | Programming Fundamentals | Electronics & Programming Labs, Assignments |
| 2nd Year | Analog & Digital Electronics | Signals & Systems, Data Structures | Circuit Labs, Mini Projects |
| 3rd Year | Communication Systems, Microprocessors | Machine Learning, Embedded Systems | AI Labs, Industry-Oriented Projects |
| 4th Year | Wireless & Optical Communication | Advanced AI & ML, Intelligent Systems | Major Project, Internship |
Career Scope after B.Tech Electronics and Communication Engineering (Artificial Intelligence and Machine Learning)
- Graduates are prepared for technology-driven roles at the intersection of electronics, communication, and artificial intelligence.
Job Profiles & Key Responsibilities
- AI Engineer (ECE Domain): Develop AI models for signal processing and intelligent devices
- Machine Learning Engineer: Build and optimize ML models for real-world applications
- Embedded AI Engineer: Implement AI algorithms on embedded and edge devices
- Electronics Design Engineer (AI Systems): Design smart electronic and communication systems
- Data Analyst (Engineering Applications): Analyze data from electronic and communication systems
Career Sectors
- Electronics & Semiconductor Industries
- Telecommunication & Networking Companies
- Embedded Systems & IoT Firms
- AI & Technology Companies
- Defense, Robotics & Automation Organizations
- Research & Development Institutions
Why Choose B.Tech ECE (Artificial Intelligence and Machine Learning) at MIT-WPU?
- Interdisciplinary blend of electronics, communication, and AI technologies
- Hands-on exposure through AI labs, projects, and internships
- Industry-aligned curriculum focused on intelligent and smart systems
- Strong career opportunities in AI-driven electronics and communication domains
- Excellent pathway for M.Tech, MS, MBA, and research careers
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